CN114896766B - DPF filtering efficiency calibration method and device and electronic equipment - Google Patents
DPF filtering efficiency calibration method and device and electronic equipment Download PDFInfo
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- CN114896766B CN114896766B CN202210417637.5A CN202210417637A CN114896766B CN 114896766 B CN114896766 B CN 114896766B CN 202210417637 A CN202210417637 A CN 202210417637A CN 114896766 B CN114896766 B CN 114896766B
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N2015/084—Testing filters
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
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Abstract
The application discloses a calibration method and device for DPF filtering efficiency and electronic equipment, and mainly relates to the technical field of automobiles, wherein the method comprises the following steps: and running a preset script based on the integral Map, acquiring running data, judging whether the running data meets a preset condition, if not, continuing running the preset script after adjusting the calibration data in the integral Map until the running data meets the preset condition, wherein the calibration data at least comprises a DPF filtering efficiency value. The DPF filtering efficiency in the integral Map is calibrated by running the running data obtained by the preset script, so that the calibration time can be reduced, and the calibration efficiency is improved.
Description
Technical Field
The application relates to the technical field of automobiles, in particular to a calibration method and device for DPF filtering efficiency and electronic equipment.
Background
The tail gas discharged by the engine not only causes pollution to the environment, but also harms human health. In order to reduce the harm of the Diesel Particulate Filter, particulate matters in the exhaust gas of the engine are usually adsorbed by a Diesel Particulate Filter (DPF) at present, so that the Particulate matters in the exhaust gas are filtered, and the value of the Particulate Matters (PM) in the exhaust gas meets the relevant emission standard. If DPF filtering efficiency does not reach the standard, particulate matter filtering effect will be directly influenced, and the PM value of tail gas discharged by the engine exceeds the standard. Therefore, monitoring of DPF filtration efficiency is required.
Currently, monitoring of DPF filtration efficiency is generally performed by an On-Board Diagnostic (OBD) system through an integral Map, wherein the integral Map is a graph of DPF optimum filtration efficiency characteristics with respect to engine speed and fuel injection quantity. In the process of engine exhaust emission, if the current DPF filtering efficiency is inconsistent with the integral Map filtering efficiency corresponding to the current engine working condition, the current DPF efficiency is considered not to be up to standard, the OBD system associates the monitoring result with an Electronic Control Unit (ECU), and the ECU further gives a warning through a fault lamp.
It can be known from the above that, integral Map calibration is an important link for monitoring DPF filtration efficiency, according to the traditional calibration mode, the DPF filtration efficiency value corresponding to each exhaust flow rate point of the engine needs to be calibrated, wherein, the DPF filtration efficiency value corresponding to each exhaust flow rate point needs to be tested repeatedly for multiple times to be completed, and after the calibration of the DPF filtration efficiency values corresponding to all the exhaust flow rate points is completed, calibration data also needs to be verified, and calibration data is adjusted for multiple times according to the verification result, the integral Map calibration mode needs a longer period to be tested in the process of completing, which results in a long calibration period.
Disclosure of Invention
The application discloses a calibration method and device for DPF filtering efficiency and electronic equipment.
In a first aspect, the present application provides a calibration method for DPF filtration efficiency, the method comprising:
running a preset script based on the first integral Map, and acquiring first running data, wherein the preset script is used for simulating the running process of the DPF;
judging whether the first operation data meet a preset condition or not;
if not, adjusting the calibration data in the first integral Map and continuing to run a preset script until the running data meets the preset condition, wherein the calibration data at least comprises a DPF filtering efficiency value.
By the method, based on the preset script, the situation that in the actual PDF filtering efficiency calibration process, the engine runs repeatedly, and therefore a large amount of time cost is saved can be avoided.
In one possible design, before the running the preset script based on the first integral Map and acquiring the running data, the method further includes:
running a preset script based on a second integral Map, and acquiring second running data, wherein all calibration data in the second integral Map are the same, and the second running data at least comprises a DPF filtering efficiency value;
adjusting each DPF filtering efficiency value in the second integral Map according to the second operation data to obtain a third integral Map;
running a preset script based on the third integral Map, and acquiring third running data, wherein the third running data at least comprises a DPF filtering efficiency value, a DPF carbon loading capacity and an exhaust gas flow;
and adjusting the DPF filtering efficiency value in the third integral Map according to the third operation data to obtain the first integral Map.
By the method, the DPF carbon loading amount and the influence brought by the exhaust gas flow corresponding to each exhaust flow point in the integral Map are not considered, the DPF filtering efficiency value in the integral Map is calibrated preliminarily, then the DPF carbon loading amount and the exhaust gas flow zone corresponding to each exhaust flow point are considered, and the DPF filtering efficiency value in the integral Map is further adjusted.
In one possible design, the adjusting the DPF filtration efficiency value in the third integral Map according to the third operation data to obtain the first integral Map includes:
respectively corresponding DPF filtering efficiency values of all first exhaust flow points in the third operation data, wherein the all first exhaust flow points comprise DPF carbon loading capacity and exhaust flow;
determining each second exhaust flow point corresponding to each exhaust flow point in the first integral Map;
and adjusting the DPF filtering efficiency value corresponding to each second exhaust flow point to be consistent with the DPF filtering efficiency value corresponding to each first exhaust flow point.
By the method, the DPF filtering efficiency in the integral Map is adjusted, so that the DPF filtering efficiency in the integral Map is matched with the DPF carbon loading and the exhaust gas flow corresponding to the actual exhaust flow rate.
In one possible design, the running the preset script includes:
indicating a preset script to calculate and obtain a DPF filtering efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the PM sensor installation position;
indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow;
and indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration.
By the method, the operation data are obtained in the operation process of the preset script, so that the calibration data in the integral Map can be conveniently adjusted subsequently according to the operation data, repeated starting of the engine can be avoided, and the time cost is saved.
In a possible design, the determining whether the first operation data meets a preset condition includes:
judging whether an integral value corresponding to a first integral Map in the first operation data is equal to a first preset threshold value or not, and judging whether a PM sensor current corresponding to the first operation data is larger than a second preset threshold value or not;
if the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is greater than the second preset threshold value, determining that the first operation data meets the preset condition;
otherwise, determining that the first operation data does not meet the preset condition.
Through the method, whether the current integral Map meets the requirement is judged.
In one possible design, the adjusting the calibration data in the first integral Map and continuing to run a preset script includes:
when the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is smaller than the second preset threshold value, multiplying all calibration data in the first integral Map by a first coefficient smaller than 1;
and when the integral value corresponding to the first integral Map is smaller than the third preset threshold and the PM sensor current is larger than the second preset threshold, multiplying all the calibration data in the first integral Map by a second coefficient larger than 1, wherein the third preset threshold is smaller than the first preset threshold.
By the method, the calibration data in the integral Map are adjusted, so that the calibration data in the integral Map can meet the preset requirement, and the calibration precision is improved.
In a second aspect, the present application provides a calibration apparatus for DPF filtration efficiency, the apparatus comprising:
the operation module is used for operating a preset script based on the first integral Map and acquiring first operation data, wherein the preset script is used for simulating the operation process of the DPF;
the judging module is used for judging whether the first operating data meet preset conditions or not;
and the adjusting module is used for adjusting calibration data in the first integral Map and then continuing to run a preset script until the operation data meet the preset condition if the first operation data do not meet the preset condition, wherein the calibration data at least comprise a DPF filtering efficiency value.
In one possible design, the operation module is further configured to operate a preset script based on a second integral Map, and obtain second operation data, where all calibration data in the second integral Map are the same, and the second operation data at least includes a DPF filtration efficiency value; adjusting each DPF filtering efficiency value in the second integral Map according to the second operation data to obtain a third integral Map; running a preset script based on the third integral Map, and acquiring third running data, wherein the third running data at least comprises a DPF filtering efficiency value, a DPF carbon loading capacity and an exhaust gas flow;
the adjusting module is further configured to adjust a DPF filtration efficiency value in the third integral Map according to the third operation data to obtain the first integral Map.
In one possible design, the execution module is further configured to:
respectively corresponding DPF filtering efficiency values according to each first exhaust flow rate point in third operation data, wherein each first exhaust flow rate point comprises DPF carbon loading capacity and exhaust flow rate;
determining each second exhaust flow point corresponding to each exhaust flow point in the first integral Map;
and adjusting the DPF filtering efficiency value corresponding to each second exhaust flow point to be consistent with the DPF filtering efficiency value corresponding to each first exhaust flow point.
In one possible design, the execution module is further configured to:
indicating a preset script to calculate and obtain a DPF filtration efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the PM sensor installation position;
indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow;
and indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration.
In one possible design, the determining module is specifically configured to:
judging whether an integral value corresponding to a first integral Map in the first operation data is equal to a first preset threshold value or not, and judging whether a PM sensor current corresponding to the first operation data is larger than a second preset threshold value or not;
if the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is greater than the second preset threshold value, determining that the first operation data meets the preset condition;
otherwise, determining that the first operation data does not meet the preset condition.
In one possible design, the adjustment module is specifically configured to:
when the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is smaller than the second preset threshold value, multiplying all calibration data in the first integral Map by a first coefficient smaller than 1;
and when the integral value corresponding to the first integral Map is smaller than the third preset threshold and the PM sensor current is larger than the second preset threshold, multiplying all the calibration data in the first integral Map by a second coefficient larger than 1, wherein the third preset threshold is smaller than the first preset threshold.
In a third aspect, the present application provides an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the calibration method of the DPF filtering efficiency when executing the computer program stored in the memory.
In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored therein, which when executed by a processor, implements the above-mentioned steps of the calibration method for DPF filtration efficiency.
Based on the calibration method for the DPF filtration efficiency, the running process of the DPF is simulated through the preset script, the situation that the engine runs for many times in the DPF filtration efficiency calibration process can be avoided, and time cost and labor cost are saved.
For each of the second aspect and the third aspect and possible technical effects achieved by each aspect, reference is made to the above description of the technical effects that can be achieved by the first aspect or various possible schemes in the first aspect, and details are not repeated here.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of a calibration method for DPF filtration efficiency provided by the present application.
Fig. 2a is a schematic diagram 1 illustrating an operation principle of a preset script provided in the present application.
Fig. 2b is a schematic diagram of an operation principle of a preset script provided in the present application 2.
Fig. 3 is a schematic structural diagram of a calibration device for DPF filtration efficiency provided by the present application.
Fig. 4 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. The particular methods of operation in the method embodiments may also be applied to apparatus embodiments or system embodiments. It should be noted that "a plurality" is understood as "at least two" in the description of the present application. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. A is connected with B and can represent: a and B are directly connected and A and B are connected through C. In addition, in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not intended to indicate or imply relative importance nor order to be construed.
Embodiments of the present application are described in detail below with reference to the accompanying drawings.
The integral Map calibration is an important link for monitoring the DPF filtration efficiency, and according to the traditional calibration mode, the DPF filtration efficiency value corresponding to each exhaust flow rate point of the engine needs to be calibrated, wherein the DPF filtration efficiency value corresponding to each exhaust flow rate point needs to be tested repeatedly for multiple times, and after the calibration of the DPF filtration efficiency values corresponding to all the exhaust flow rate points is completed, calibration data still needs to be verified, and calibration data is adjusted for multiple times according to verification results, and the integral Map calibration mode needs a long period for testing in the process of completing, so that the calibration period is long.
In order to solve the problems, the application provides a calibration method for DPF filtering efficiency, the DPF filtering efficiency in an integral Map is calibrated by operating the operation parameters obtained by a preset script, calibration time can be reduced, and calibration efficiency is improved. The method, the apparatus, and the electronic device according to the embodiments of the present application are completed based on the foregoing adapter, and the principles of the problems solved by the method, the apparatus, and the electronic device are similar to each other.
As shown in fig. 1, a flowchart of a calibration method for DPF filtration efficiency provided by the present application specifically includes the following steps:
s11, running a preset script based on the first integral Map, and acquiring first running data;
s12, judging whether the first operation data meet a preset condition or not;
and S13, when the first operation data do not meet the preset condition, continuing to operate the preset script after adjusting the calibration data in the first integral Map until the operation data meet the preset condition, wherein the calibration data at least comprise a DPF filtration efficiency value.
In the embodiment of the application, the preset script is used for simulating the running process of the DPF, after the preset script is obtained, target data required by running the preset script needs to be obtained, and the target data are input into the preset script to realize data configuration of the preset script, wherein the target data are acquired in the running process of the automobile and are used for supporting the running of the preset script. Specifically, the method comprises the following steps:
after the automobile is started, automobile running data, such as DPF carbon loading capacity and current detected by a PM sensor, of working points corresponding to each exhaust flow point are collected on a rack or a rotating hub, then the automobile running data are input into a preset script, the preset script is operated based on a second integral Map, the second integral Map takes the DPF carbon loading capacity as an X axis, the exhaust flow is taken as a DPF optimal running efficiency curve of a Y axis, one DPF carbon loading capacity and one exhaust flow jointly correspond to one exhaust flow point, and meanwhile, the exhaust flow point corresponds to one DPF filtering efficiency value. In the calibration of the second integral Map, all the calibration data in the second integral Map are set to the same data so as not to take the influence of the exhaust gas flow into account.
And in the process of operating the preset script, acquiring second operation data, wherein the second operation data at least comprises a DPF filtration efficiency value, and the second operation data further comprises a current measured by a PM sensor and an integral value corresponding to a second integral Map, wherein the integral value corresponding to the second integral Map is mainly obtained by performing logic operation on the DPF filtration efficiency value corresponding to the second integral Map.
After the second operation data is obtained, each DPF filtering efficiency value in the second integral Map is further adjusted according to the second operation data to obtain a third integral Map, further, a preset script is operated based on the third integral Map, and third operation data is obtained, wherein the third operation data at least comprises the DPF filtering efficiency value, the DPF carbon loading amount and the exhaust gas flow rate, and in the process of operating the preset script at this time, the DPF carbon loading amount and the exhaust gas flow rate point in the third integral Map are actually acquired data, that is, the influence of the exhaust gas flow rate is considered.
Specifically, first, a first DPF filtration efficiency value corresponding to a first exhaust flow rate point in the third operation data is determined, and then, it is determined whether or not a second DPF filtration efficiency value corresponding to the same exhaust flow rate point as the first exhaust flow rate point in the third integral Map coincides with the first DPF filtration efficiency value, and if not, the second DPF filtration efficiency value is adjusted to coincide with the first DPF filtration efficiency value.
By the above method, the first integral Map may be obtained, and after obtaining the first integral Map, further, the preset script may be executed based on the first integral Map, so as to obtain first operation data required by calibration of the first integral Map, where the first operation data at least includes an integral value corresponding to the first integral Map, where the integral value is calculated according to the DPF carbon loading and the exhaust gas flow rate, and may further include all data used or generated during the execution of the preset script, such as a current detected by a PM sensor, a DPF filtration efficiency value, and the like, and specifically, the method includes:
indicating a preset script to calculate and obtain a DPF filtration efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the PM sensor installation position;
and indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow of the installation position of the PM sensor. Specifically, a ratio of the exhaust gas flow rate at the PM sensor installation position is calculated first, and then the ratio is multiplied by the exhaust gas flow rate to obtain the exhaust gas flow rate at the PM installation position, and further the exhaust gas flow rate at the PM installation position is divided by the exhaust gas flow rate at the PM installation position to obtain the carbon concentration at the PM sensor installation position;
indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration of the installation position of the PM sensor;
specifically, the carbon concentration of the PM sensor installation position is multiplied by a carbon concentration compensation coefficient, and an uncompensated reciprocal of the predicted trigger time is output, wherein the predicted departure time is the alarm time for triggering the OBD system. And meanwhile, outputting a first compensation factor of the influence of the actual exhaust speed on the sensor element smoke accumulation based on the speed of the exhaust gas flow and an exhaust speed compensation curve, wherein the speed of the exhaust gas flow is obtained by acquiring target data, and multiplying the uncompensated reciprocal by the first compensation factor to obtain a first result.
In addition, the collected exhaust temperature is subtracted from the temperature measured by the PM sensor, a temperature difference value is output, and further, a second compensation factor of the influence of thermophoresis on the sensor element due to the temperature difference on the ash deposition caused by the temperature difference is calculated according to the temperature difference value and an influence curve between the compensation meander temperature and the exhaust temperature.
And multiplying the PM sensor sensitivity factor in the target data by the first result and the second compensation factor to obtain a second result, comparing the second result with a constant 0, and taking the larger value in the comparison result as the predicted departure time.
Further, based on the selection switch, a third result is obtained after the predicted trigger time or a preset constant is inverted, and the third result is integrated to obtain an integral value corresponding to the first integral Map.
Through the above method, first operation data required for calibration of the first integral Map, such as a DPF filtering efficiency value, an integrated value corresponding to the first integral Map, or an exhaust gas flow rate, etc., may be obtained. Similarly, the method for operating the preset script based on the second integral Map or the third integral Map to obtain the second operation data or the third operation data is the same as the method described above.
After the first operation data is obtained, whether the first operation data meets a preset condition is further judged, and the specific judgment method comprises the following steps:
whether the integral value corresponding to the first integral Map in the first operation data is equal to a first preset threshold is judged, in this embodiment, the first preset threshold is 1, and of course, adjustment may also be made according to an actual situation, such as 0.98, 1.02, and the like, which is not specifically limited herein. Meanwhile, whether the current of the PM sensor corresponding to the first operation data is greater than a second preset threshold is also determined, in the embodiment of the present application, the value of the second preset threshold is 12 microamperes, which of course may be adjusted according to actual conditions, and no specific limitation is made here. If the integral value corresponding to the first integral Map is equal to a first preset threshold value and the PM sensor current is larger than a second preset threshold value, determining that the first operation data meets a preset condition; otherwise, determining that the first operation data does not meet the preset condition.
When the first operation data does not meet the preset condition, firstly adjusting the calibration data in the first integral Map, wherein the specific adjusting method comprises the following steps: when the integral value corresponding to the first integral Map is equal to a first preset threshold value and the PM sensor current is smaller than a second preset threshold value, multiplying all calibration data in the first integral Map by a first coefficient smaller than 1, such as 0.9, 0.8 and the like; when the integral value corresponding to the first integral Map is smaller than a third preset threshold value and the PM sensor current is larger than the second preset threshold value, all the calibration data in the first integral Map are multiplied by a second coefficient larger than 1, such as 1.1, 1.2 and the like, wherein the third preset threshold value is smaller than the first preset threshold value.
And after the calibration data in the first integral Map is adjusted, continuing to run the preset script until the running data meets the preset condition, wherein the calibration data at least comprises the DPF filtration efficiency value, and further realizing the calibration of the DPF filtration efficiency.
According to the calibration method for the DPF filtering efficiency, the DPF filtering efficiency in the integral Map is calibrated by operating the operation parameters obtained by the preset script, so that the calibration time can be reduced, and the calibration efficiency can be improved.
Further, in order to describe the calibration method for DPF filtration efficiency in more detail, the following describes the calibration method for DPF filtration efficiency in combination with a specific application scenario.
In this application scenario, fig. 2a and fig. 2b together form a schematic structural diagram of a preset script operation principle, where the first result and the second compensation factor in fig. 2a are the same as the first result and the second compensation factor in fig. b, and it can be understood that the first result and the second compensation factor are interfaces between fig. 2a and fig. 2 b.
As can be seen from fig. 2a and 2b, when the preset script runs, the DPF filtration efficiency value is obtained by inputting the DPF accumulated carbon amount and the exhaust gas flow at the PM sensor installation into the integral MAP, and then the DPF filtration efficiency value is multiplied by the soot value finally calculated by the model after unit conversion to calculate the flow rate of the DPF downstream carbon particles.
Further, a low pressure Exhaust Gas Recirculation (EGR) selector switch, which divides the Exhaust Gas flow rate at the PM sensor mounting location by a constant C, a constant 1, or a result of dividing the Exhaust Gas flow rate at the PM mounting location by the waste flow rate at the low pressure EGR, obtains a ratio of the Exhaust Gas flow rate at the PM sensor mounting location, and then multiplies the ratio by the flow rate of carbon particles downstream of the DPF, to obtain the Exhaust Gas flow rate at the PM sensor mounting location; further, the carbon concentration at the PM sensor mounting location is obtained by dividing the exhaust gas flow rate at the PM sensor mounting location by the exhaust gas flow rate at the PM sensor mounting location.
Further, the carbon concentration is multiplied by a carbon concentration compensation coefficient to obtain an uncompensated reciprocal of the predicted trigger time. Meanwhile, outputting a first compensation factor of the influence of the actual exhaust speed on the sensor element smoke accumulation according to the speed of the exhaust gas flow and the calibrated exhaust speed compensation curve, and multiplying the first compensation factor by the uncompensated reciprocal of the predicted trigger time to obtain a first result.
Meanwhile, in the running process of the preset script, the temperature difference value is obtained by subtracting the temperature measured by the PM sensor from the exhaust temperature, then the difference value is input into an influence curve for compensating the difference between the meander temperature and the exhaust temperature, and a second compensation factor of the thermophoresis on the influence of the accumulated dust on the sensor element due to the temperature difference is obtained.
Further, the result obtained by multiplying the sensor sensitivity factor by the first result and the second result is compared with a constant 0, and the larger value of the comparison result is used as the predicted trigger time, and then the trigger time is inverted.
Further, when the state value of the PM sensor is equal to 3, the output state is 1; the state value at the PM sensor equals 4 and state bit 1 is output. Meanwhile, if the addition result of the two is greater than or equal to 1, the state value of the PM sensor is used as a first output result, the switch selection constant 200000 or the inverse of the predicted trigger time, or the state value of the PM sensor is used as a second output result, and after taking the inverse, the integration operation is performed to obtain the integral value of the DPF efficiency monitoring model ratio.
Finally, the first output result, the current measured by the PM sensor, the integration value, and the second output result are output as output results.
According to the operation principle of the preset script provided by the application, when the preset script is combined to calibrate the PDF filtering efficiency, each working condition point under each exhaust gas flow point only needs to collect data once at a rack or a rotating hub, namely all original input parameters in scripts of fig. 2a and fig. 2b, and in the data collection process, the integral Map is completely calibrated to be 0, so that the influence on the effectiveness of the collected data due to the original data is avoided.
Further, after the whole integral Map is calibrated to be the same value and the influence of different exhaust gas flow points is not considered, a preset script is operated, and the approximate PDF filtering efficiency value of each point is simulated in an off-line mode, so that when the integral value meets the condition of about 1, the PM sensor detects that the current is larger than 12 microamperes.
And circularly acquiring data again after all the points are simulated, wherein the integral Map is calibrated to be 0 in the data acquisition process, so that the influence on the effectiveness of the acquired data due to the original data is avoided.
Further, when a preset script is operated and a circulation result is simulated offline, so that the integral value is about 1, the PM sensor detects that the current is greater than 12 microamperes, and the fine calibration integral Map is realized, so that the function of diagnosing the DPF filtering efficiency in circulation is met.
Finally, the integral Map is verified by running a preset script, if the integral value can not meet the requirement that the integral value is about 1, the PM sensor detects that the current is greater than 12 microamperes, the integral Map needs to be adjusted, and the method is divided into two cases: (1) If the integral value is equal to 1, but the current measured by the PM sensor is less than 12 microamperes, the integral Map is multiplied by a coefficient less than 1 in a whole manner, so that the integral Map is reduced in a whole manner; (2) If the integral value is far smaller than 1, but the current measured by the PM sensor is larger than 12 microamperes, the integral Map is multiplied by a coefficient larger than 1 integrally, so that the integral Map is improved integrally; and continuously circulating to verify, and then finely adjusting to ensure that the current measured by the PM sensor is more than 12 microamperes when the integral value is about 1, and finally, determining the calibration of the integral Map.
By the method, the integral Map is calibrated based on the preset script, so that the labor cost is reduced, and the calibration time is saved.
Based on the same inventive concept, an embodiment of the present application further provides a calibration apparatus for DPF filtration efficiency, as shown in fig. 3, which is a schematic structural diagram of the calibration apparatus for DPF filtration efficiency in the present application, and the apparatus includes:
the running module 31 is configured to run a preset script based on the first integral Map and obtain first running data, where the preset script is used to simulate a running process of the DPF;
a judging module 32, configured to judge whether the first operating data meets a preset condition;
an adjusting module 33, configured to, if the first operation data does not meet a preset condition, adjust calibration data in the first integral Map and then continue to run a preset script until the operation data meets the preset condition, where the calibration data at least includes a DPF filtration efficiency value.
In a possible design, the operation module 31 is further configured to operate a preset script based on a second integral Map, and obtain second operation data, where all calibration data in the second integral Map are the same, and the second operation data at least includes a DPF filtration efficiency value; adjusting each DPF filtering efficiency value in the second integral Map according to the second operation data to obtain a third integral Map; running a preset script based on the third integral Map, and acquiring third running data, wherein the third running data at least comprises a DPF filtering efficiency value, a DPF carbon loading capacity and an exhaust gas flow;
the adjusting module 33 is further configured to adjust the DPF filtration efficiency value in the third integral Map according to the third operation data to obtain the first integral Map.
In one possible embodiment, the operating module 31 is further configured to:
respectively corresponding DPF filtering efficiency values according to each first exhaust flow rate point in third operation data, wherein each first exhaust flow rate point comprises DPF carbon loading capacity and exhaust flow rate;
determining each second exhaust flow point corresponding to each exhaust flow point in the first integral Map;
and adjusting the DPF filtering efficiency value corresponding to each second exhaust flow point to be consistent with the DPF filtering efficiency value corresponding to each first exhaust flow point.
In one possible embodiment, the operating module 31 is further configured to:
indicating a preset script to calculate and obtain a DPF filtration efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the PM sensor installation position;
indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow;
and indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration.
In a possible design, the determining module 32 is specifically configured to:
judging whether an integral value corresponding to a first integral Map in the first operation data is equal to a first preset threshold value or not, and judging whether a PM sensor current corresponding to the first operation data is larger than a second preset threshold value or not;
if the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is greater than the second preset threshold value, determining that the first operation data meets the preset condition;
otherwise, determining that the first operation data does not meet the preset condition.
In one possible design, the adjusting module 33 is specifically configured to:
when the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is smaller than the second preset threshold value, multiplying all calibration data in the first integral Map by a first coefficient smaller than 1;
and when the integral value corresponding to the first integral Map is smaller than the third preset threshold and the PM sensor current is larger than the second preset threshold, multiplying all the calibration data in the first integral Map by a second coefficient larger than 1, wherein the third preset threshold is smaller than the first preset threshold.
Based on the calibration device for the DPF filtration efficiency, calibration data in the integral Map are adjusted, so that the calibration data in the integral Map can meet preset requirements, and the calibration precision is improved.
Based on the same inventive concept, an embodiment of the present application further provides an electronic device, where the electronic device can implement the functions of the DPF filtration efficiency calibration method apparatus, and with reference to fig. 4, the electronic device includes:
at least one processor 41, and a memory 42 connected to the at least one processor 41, in this embodiment, a specific connection medium between the processor 41 and the memory 42 is not limited, and fig. 4 illustrates an example where the processor 41 and the memory 42 are connected through a bus 40. The bus 40 is shown in fig. 4 by a thick line, and the connection manner between other components is merely illustrative and not limited thereto. The bus 40 may be divided into an address bus, a data bus, a control bus, etc., and is shown with only one thick line in fig. 4 for ease of illustration, but does not represent only one bus or type of bus. Alternatively, processor 41 may also be referred to as a controller, without limitation to name a few.
In the embodiment of the present application, the memory 42 stores instructions executable by the at least one processor 41, and the at least one processor 41 can execute the calibration method for DPF filtration efficiency discussed above by executing the instructions stored in the memory 42. The processor 41 may implement the functions of the various modules in the apparatus shown in fig. 3.
The processor 41 is a control center of the apparatus, and may connect various parts of the entire control device by using various interfaces and lines, and perform various functions of the apparatus and process data by operating or executing instructions stored in the memory 42 and calling up data stored in the memory 42, thereby performing overall monitoring of the apparatus.
In one possible design, processor 41 may include one or more processing units, and processor 41 may integrate an application processor, which primarily handles operating systems, user interfaces, application programs, and the like, and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 41. In some embodiments, processor 41 and memory 42 may be implemented on the same chip, or in some embodiments, they may be implemented separately on separate chips.
The processor 41 may be a general-purpose processor, such as a Central Processing Unit (CPU), digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like, that may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the calibration method for the DPF filtration efficiency disclosed in the embodiments of the present application may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.
The processor 41 is programmed to solidify the code corresponding to the calibration method for DPF filtration efficiency described in the foregoing embodiment into the chip, so that the chip can execute the steps of the calibration method for DPF filtration efficiency of the embodiment shown in fig. 1 when running. How to program the processor 41 is well known to those skilled in the art and will not be described in detail here.
Based on the same inventive concept, the embodiment of the present application further provides a storage medium storing computer instructions, which when executed on a computer, cause the computer to execute the calibration method for DPF filtration efficiency discussed above.
In some possible embodiments, the aspects of the calibration method for DPF filtration efficiency provided herein may also be realized in the form of a program product comprising program code for causing the control apparatus to perform the steps of the calibration method for DPF filtration efficiency according to various exemplary embodiments of the present application described herein above when the program product is run on a device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (12)
1. A calibration method for DPF filtration efficiency, the method comprising:
running a preset script based on the first integral Map, and acquiring first running data, wherein the preset script is used for simulating the running process of the DPF of the diesel particulate filter;
judging whether the first operation data meet a preset condition or not;
if not, when the integral value corresponding to the first integral Map is equal to a first preset threshold value and the PM sensor current corresponding to the first operation data is smaller than a second preset threshold value, multiplying all the calibration data in the first integral Map by a first coefficient smaller than 1, or when the integral value corresponding to the first integral Map is smaller than a third preset threshold value and the PM sensor current is larger than the second preset threshold value, multiplying all the calibration data in the first integral Map by a second coefficient larger than 1, and continuing to operate a preset script until the operation data meets the preset condition, wherein the third preset threshold value is smaller than the first preset threshold value, and the calibration data at least comprises a DPF filtration efficiency value.
2. The method as claimed in claim 1, wherein before the running the preset script based on the first integral Map and obtaining the running data, further comprising:
running a preset script based on a second integral Map, and acquiring second running data, wherein all calibration data in the second integral Map are the same, and the second running data at least comprises a DPF filtering efficiency value;
adjusting each DPF filtering efficiency value in the second integral Map according to the second operation data to obtain a third integral Map;
running a preset script based on the third integral Map, and acquiring third running data, wherein the third running data at least comprises a DPF filtering efficiency value, a DPF carbon loading capacity and an exhaust gas flow;
and adjusting the DPF filtering efficiency value in the third integral Map according to the third operation data to obtain the first integral Map.
3. The method as set forth in claim 2, wherein said adjusting the DPF filtration efficiency value in the third integral Map based on the third operational data to obtain the first integral Map comprises:
respectively corresponding DPF filtering efficiency values according to each first exhaust flow rate point in third operation data, wherein each first exhaust flow rate point comprises DPF carbon loading capacity and exhaust flow rate;
determining each second exhaust flow rate point corresponding to each exhaust flow rate point in the first integral Map;
and adjusting the DPF filtering efficiency value corresponding to each second exhaust flow point to be consistent with the DPF filtering efficiency value corresponding to each first exhaust flow point.
4. The method of claim 1, wherein the running of the pre-set script comprises:
indicating a preset script to calculate and obtain a DPF filtration efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the installation position of the exhaust particulate matter PM sensor;
indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow;
and indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration.
5. The method of claim 1, wherein the determining whether the first operation data satisfies a predetermined condition comprises:
judging whether an integral value corresponding to a first integral Map in the first operation data is equal to a first preset threshold value or not, and judging whether a PM sensor current corresponding to the first operation data is larger than a second preset threshold value or not;
if the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is greater than the second preset threshold value, determining that the first operating data meets the preset condition;
otherwise, determining that the first operation data does not meet the preset condition.
6. A calibration apparatus for DPF filtration efficiency, the apparatus comprising:
the running module is used for running a preset script based on the first integral Map and acquiring first running data, wherein the preset script is used for simulating the running process of the DPF;
the judging module is used for judging whether the first operating data meet preset conditions or not;
an adjusting module, configured to multiply all calibration data in the first integral Map by a first coefficient smaller than 1 when the integral value corresponding to the first integral Map is equal to a first preset threshold and the PM sensor current corresponding to the first operating data is smaller than a second preset threshold if the first operating data does not satisfy a preset condition, or multiply all calibration data in the first integral Map by a second coefficient larger than 1 when the integral value corresponding to the first integral Map is smaller than a third preset threshold and the PM sensor current is larger than the second preset threshold, and continue to operate a preset script until the operating data satisfies the preset condition, where the third preset threshold is smaller than the first preset threshold, and the calibration data at least includes a DPF filtration efficiency value.
7. The apparatus of claim 6, wherein the operation module is further configured to run a preset script based on a second integral Map, and obtain second operation data, wherein all calibration data in the second integral Map are the same, and the second operation data at least includes a DPF filtration efficiency value; adjusting each DPF filtering efficiency value in the second integral Map according to the second operation data to obtain a third integral Map; running a preset script based on the third integral Map, and acquiring third running data, wherein the third running data at least comprises a DPF filtering efficiency value, a DPF carbon loading capacity and an exhaust gas flow;
the adjusting module is further configured to adjust a DPF filtration efficiency value in the third integral Map according to the third operation data to obtain the first integral Map.
8. The apparatus of claim 7, wherein the execution module is further configured to:
respectively corresponding DPF filtering efficiency values according to each first exhaust flow rate point in third operation data, wherein each first exhaust flow rate point comprises DPF carbon loading capacity and exhaust flow rate;
determining each second exhaust flow point corresponding to each exhaust flow point in the first integral Map;
and adjusting the DPF filtering efficiency value corresponding to each second exhaust flow point to be consistent with the DPF filtering efficiency value corresponding to each first exhaust flow point.
9. The apparatus of claim 6, wherein the execution module is further configured to:
indicating a preset script to calculate and obtain a DPF filtration efficiency value corresponding to each exhaust flow point according to the first integral Map, the DPF carbon loading amount corresponding to each exhaust flow point and the exhaust gas flow at the PM sensor installation position;
indicating a preset script to calculate the carbon concentration of the installation position of the PM sensor according to the exhaust gas flow;
and indicating a preset script to calculate an integral value corresponding to the first integral Map according to the carbon concentration.
10. The apparatus of claim 6, wherein the determining module is specifically configured to:
judging whether an integral value corresponding to a first integral Map in the first operation data is equal to a first preset threshold value or not, and judging whether a PM sensor current corresponding to the first operation data is larger than a second preset threshold value or not;
if the integral value corresponding to the first integral Map is equal to the first preset threshold value and the PM sensor current is greater than the second preset threshold value, determining that the first operating data meets the preset condition;
otherwise, determining that the first operation data does not meet the preset condition.
11. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1-5 when executing the computer program stored on the memory.
12. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1-5.
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